Honeywell Versatilis™ Experion EHM

What Is It?
The Honeywell Versatilis Experion EHM solution is an on-premises, end-to-end remote monitoring solution designed to monitor the Honeywell Versatilis Transmitter product line.  
The solution provides:

• Build and maintenance of plant hierarchy (Site->Asset->Transmitter)
• Bird’s eye view dashboard with overview of plant assets
• Historization and alarms based on measurement
• Easy drill down views to individual transmitter
• ISO based asset health reports
• Diagnostics to determine transmitter health

With additional licensed features the solution provides:

• Advanced vibration analytics for fault verification and alerts
• Asset health report generation

How Does It Work?
The Honeywell Versatilis Transmitters are configured via the Versatilis Connect BLE app to communicate to the specific LoRaWAN region infrastructure.  The Connect app allows the user to specifically configure the transmitter for each asset, download data files (.csv) and provides a live dashboard while being utilized.
The simple architecture utilizes a commercial off the shelf LoRaWAN gateway to provide seamless data integration to an on-premises PC that operates 2 virtual machines (VMs).  The Chirpstack VM is a LoRaWAN network and application server utilized to decipher the payload data from the transmitter and sends the data via MQTT to the Experion EHM VM software.  The software provides visualization of parameter trends and alarms.

What Problem Does It Solve?
The Honeywell Versatilis Experion EHM solution unlocks the possibilities of digitizing remote assets.  The wide-ranging capabilities help customers reduce costs, improve safety, increase energy efficiency, and can even help comply with environment regulations.  With focus on condition-based monitoring for remote assets such as pumps, motors, compressors, fans, blowers, and gearboxes customers can now:

• Digitize assets, ambient conditions, and processes
• Automate field data collection
• Visualize asset performance trends
• Identify alarm conditions
• Utilize advanced data and statistical analysis to detect equipment faults
• Reduce unplanned downtime through predictive maintenance